Analysis of resource use efficiency among soybean (Glycine max) farmers in Gboko local government area of Benue state, Nigeria

The study examined the efficiency of resource use in soybean production in Gboko Local Government Area of Benue State, Nigeria. The objectives of the study were to identify and describe the socio economic characteristics of soybean farmers and to determine resource allocation among soybean farmers. Multi-stage random sampling technique was used to select a sample of 120 respondents. Data collected were subjected to Descriptive statistics and production function analysis. The result revealed that 93.3% of the farmers had one form of formal education, or the other with over 65% cultivating between 1-4 hectares. Also, 87.5% of the farmers were in their active age, and 81.7% utilized their personal saving as a major source of finance for production. The result of the production function analysis indicated that 87.21% of the variation in the output of soybean is explained for by the independent variables. Resource-use efficiency revealed that quantity of seed, farm size, herbicide and inorganic fertilizer were underutilized while labour was over utilized. Provision of adequate and timely farming inputs, making loans accessible to farmers and reasonable market price of soybean are essential to boost production.KEYWORDS: Analysis, Resource use efficiency, Farmers, production function analysis, Benue, Nigeria

Poverty and its alleviating strategies among rural farming households in Benue state, Nigeria

The study analysed rural farming households’ poverty status and alleviating strategies in Benue State, Nigeria. The specific objectives of the study were to: describes the rural household heads’ socio-economic characteristics; determine the poverty status of the respondents and its determinants; and identify poverty alleviating strategies of the respondents. Data for the study was collected from 420 respondents selected using a multi-stage sampling technique. Data collected were analysed using descriptive statistics, the Foster-Greer-Thorbecke poverty measurement index, and the Binary Logistic regression model. The findings of the study revealed a very high incidence of poverty (70%), having a gap of 0.34, and severity of 0.17. Poverty in the area is positively associated with the age of the household head and household size, while gender, educational level, off-farm activity, membership of a group, farm size, and land ownership are negatively associated with poverty. The common poverty alleviation strategies identified were agricultural wage labour (48.6%), rental services (45.0%), and transportation business (36.7%). Therefore, it was recommended that the government and other stakeholders should initiate sustainable social protection schemes that can assist rural residents in alleviating poverty until their condition improves